AI agents are multiplying across your cloud faster than any team can track by hand. CloudSentry AI gives you continuous, unified visibility and control over every agent running on Azure, AWS, and GCP — before shadow AI becomes an incident.
Any team can stand up an AI agent in an afternoon — a data science chatbot, a DevOps automation script, a customer-facing assistant. Almost none of them get reported to security before they reach production.
Most organizations can't answer how many AI agents they actually have running, who owns them, or what they can touch.
Traditional CSPM tools weren't built to recognize agent frameworks and AI-native resources across Azure, AWS, and GCP.
Agents can take high-risk actions — financial, destructive, customer-facing — with no human ever reviewing the decision.
CloudSentry AI is built around three continuous methods working together — not a one-time audit.
Hourly, read-only scans across every connected cloud account surface every AI agent — registered or not.
Every agent is continuously evaluated against 20 built-in risk use cases spanning access, data, behavior, and compliance.
Approval workflows, incident response, and autonomy classification keep a human in the loop on every high-risk decision.
Approved actions — disable an agent, revoke a credential — execute directly from the platform, only after human sign-off.
You cannot govern, secure, or budget for what you don't know exists. This is the foundation every other protection in this document is built on — a single, always-current inventory instead of a spreadsheet someone updates twice a year.
The same principle that limits how much damage a single compromised employee credential can do, applied to AI — it caps the worst-case outcome of any one agent going wrong.
This is one of the most novel risks unique to AI agents, with no equivalent in traditional software. Left unmanaged it can turn a trusted internal tool against you.
Stops your most sensitive data from silently leaking through an AI agent — a critical control for regulatory compliance (GDPR, HIPAA, PCI) and for customer trust.
Turns AI oversight from a one-time check into ongoing behavioral security — the same principle behind fraud detection and intrusion detection, applied to AI agents.
Data residency violations carry real regulatory and financial consequences — this gives you continuous, provable compliance instead of a point-in-time audit finding.
A single unified view across Azure, AWS, and GCP — no gaps between providers.
Every client's data is isolated at the database layer, verified — not just separated in the UI.
Every connected cloud account resyncs automatically, every hour. No one has to remember to click "sync."
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